Sciweavers

NIPS
2003
14 years 28 days ago
Design of Experiments via Information Theory
We discuss an idea for collecting data in a relatively efficient manner. Our point of view is Bayesian and information-theoretic: on any given trial, we want to adaptively choose...
Liam Paninski
NIPS
2003
14 years 28 days ago
Nonstationary Covariance Functions for Gaussian Process Regression
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
Christopher J. Paciorek, Mark J. Schervish
NIPS
2003
14 years 28 days ago
Robustness in Markov Decision Problems with Uncertain Transition Matrices
Optimal solutions to Markov Decision Problems (MDPs) are very sensitive with respect to the state transition probabilities. In many practical problems, the estimation of those pro...
Arnab Nilim, Laurent El Ghaoui
NIPS
2003
14 years 28 days ago
Variational Linear Response
A general linear response method for deriving improved estimates of correlations in the variational Bayes framework is presented. Three applications are given and it is discussed ...
Manfred Opper, Ole Winther
NIPS
2003
14 years 28 days ago
On the Concentration of Expectation and Approximate Inference in Layered Networks
We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
XuanLong Nguyen, Michael I. Jordan
NIPS
2003
14 years 28 days ago
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models
We describe a Markov chain method for sampling from the distribution of the hidden state sequence in a non-linear dynamical system, given a sequence of observations. This method u...
Radford M. Neal, Matthew J. Beal, Sam T. Roweis
NIPS
2003
14 years 28 days ago
Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons
We employ an efficient method using Bayesian and linear classifiers for analyzing the dynamics of information in high-dimensional states of generic cortical microcircuit models....
Thomas Natschläger, Wolfgang Maass
NIPS
2003
14 years 28 days ago
One Microphone Blind Dereverberation Based on Quasi-periodicity of Speech Signals
Speech dereverberation is desirable with a view to achieving, for example, robust speech recognition in the real world. However, it is still a challenging problem, especially when...
Tomohiro Nakatani, Masato Miyoshi, Keisuke Kinoshi...
NIPS
2003
14 years 28 days ago
Mechanism of Neural Interference by Transcranial Magnetic Stimulation: Network or Single Neuron?
This paper proposes neural mechanisms of transcranial magnetic stimulation (TMS). TMS can stimulate the brain non-invasively through a brief magnetic pulse delivered by a coil pla...
Yoichi Miyawaki, Masato Okada